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Skills

R
SQL
Git/Github
Shiny
Power BI
Data Studio
Python

Disclaimer

Made with the R package pagedown.

The source code is available on github.com/ricardomattos05/Resume_en.

Last updated on 2021-05-26.

Main

Ricardo Mattos

From Rio de Janeiro, 25 years old, with experience in Data Science and Analytics projects, focusing on changing the mindset of major players in the market. Serving several branches, such as insurance, CRM for large companies in the market, from food retail to automotive.

Experience

NA

Data Scientist Specialist

CI&T

São Paulo, SP, Brazil

Current - 2020

  • Conducting rites of insights with business and development cells to stimulate an analytical questioning of demands and deliveries
  • Connect the Data Driven mindset with the lean digital workflow.
  • Promote a focus on continuous improvement based on experiments and monitoring of deliveries so that cells do not become delivery.
  • Definition and monitoring of main KPIs.
  • Preparation of advanced business impact measurement analysis.
  • Profile segmentation analysis.
  • Conducting A/B testing and other statistical simulations.
  • NLP para autoatendimento integrado com funcionalidades e sistemas da empresa.
  • NLP and ML algorithms: Lasso Linear and logistic regressions, decision tree, random forest, xgboost, k-means, PCA, neural networks.

Data Science & Analytics Analyst

Ibope DTM

São Paulo, SP, Brazil

2020 - 2019

  • Descriptive, predictive and prescriptive analysis.
  • Customer segmentation (RFM, LTV ..)
  • Identification of consumption patterns(basket analysis, consumption segmentation…).
  • Design of experiments and analysis of campaign measurement.
  • ML algorithms: Linear and Logistic regressions, decision tree, random forest, xgboost, k-means, PCA.

Data Science & Analytics Consultant

SponsorB

São Paulo, SP, Brazil

2020 - 2020

  • Predictive models with a focus on calculating retention rates and calculating customer value(churn rate and LTV prediction)
  • Análise de perfil de consumo através de técnicas de clusterização, regras de associação e indicadores transacionais.
  • Providing ad-hoc analysis and reports.
  • Structuring the extraction process and measuring CRM campaigns.
  • Conducting A/B testing and other statistical simulations.
  • ML algorithms: Linear and Logistic regressions, decision tree, random forest, xgboost, k-means, PCA.

Data Scientist

Bradesco Seguros

Rio de Janeiro, RJ, Brazil

2019 - 2017

  • Risk modeling for car insurance pricing.
  • Driving behavior model based on telemetry.
  • deployment of the driving behavior model in the pricing calculation at the renovation flow.
  • Internal consultancy, serving different areas of the company with descriptive, predictive and prescriptive analysis.
  • ML algorithms: GLM(poisson, gamma and logit), decision tree, k-means, PCA.

Intern

Naturgy

Rio de Janeiro, RJ, Brazil

2017 - 2016

  • Construction and automation of reports.
  • Defining KPIs for follow-up.




Formation

B.S., Statistics

State University of Rio de Janeiro

Rio de Janeiro, RJ, Brazil

2018 - 2015

  • Conclusion Thesis: Model for identifying driving behavior, an approach applied to risk.

Research Experience

Academic Research

IMS - UER

Rio de Janeiro, RJ, Brazil

2016 - 2015

  • Research project in the field of epidemiology, to identify the effect of burning on the birth of term or low weight children in MT.
  • Work done in R language, with the need for scraping to extract and consume data from public agencies, such as SUS, INPE, INMET ..

Completed Courses

Shiny Dashboards (18h)

N/A

N/A

2020 - 2020